What is the impact of bias in AI systems?

What is the impact of bias in AI systems?

Bias in AI can lead to unfair treatment, discrimination, and perpetuation of stereotypes in decision-making.

Can you give examples of bias in AI?

Sure! Examples include biased hiring algorithms that favor certain demographics or facial recognition systems that misidentify people of color.

How can we mitigate bias in AI?

Mitigating bias involves diverse training data, regular audits, and involving ethicists in the development process.

What are the consequences of ignoring bias in AI?

Ignoring bias can result in legal issues, loss of trust, and negative societal impacts, affecting marginalized groups.